Compressing random microstructures via stochastic Wang tilings

Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Oct;86(4 Pt 1):040104. doi: 10.1103/PhysRevE.86.040104. Epub 2012 Oct 22.

Abstract

This Rapid Communication presents a stochastic Wang tiling-based technique to compress or reconstruct disordered microstructures on the basis of given spatial statistics. Unlike the existing approaches based on a single unit cell, it utilizes a finite set of tiles assembled by a stochastic tiling algorithm, thereby allowing to accurately reproduce long-range orientation orders in a computationally efficient manner. Although the basic features of the method are demonstrated for a two-dimensional particulate suspension, the present framework is fully extensible to generic multidimensional media.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Biophysics / methods
  • Data Compression
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional / methods*
  • Materials Testing
  • Models, Statistical
  • Reproducibility of Results
  • Stochastic Processes